Rasagiline, a Suicide Inhibitor of Monoamine Oxidases, Binds Reversibly to α-Synuclein
Bibliographic record
Abstract
Rasagiline (N-propargyl-1-R-aminoindan) and selegiline (1-deprenyl) are MAO-B inhibitors which are used in the treatment of Parkinson's disease. The binding of rasagiline, selegiline, and their metabolites including 1-aminoindan, 2-aminoindan, and methamphetamine to α-synuclein was investigated by nanopore analysis and isothermal titration calorimetry. Blockade current histograms of α-synuclein alone give a peak at -86 pA which is due to translocation of the protein through the pore. In the presence of rasagiline and R-1-aminoindan, this peak shifts to about -80 pA. In the presence of selegiline and R-methamphetamine, the number of events at -86 pA is reduced and there is a higher proportion of bumping events at about -25 pA which are due to a more compact conformation. Rasagiline can also bind to sites in both the N- and C-terminal regions of α-synuclein. The binding constants of rasagiline and selegiline were estimated by isothermal titration calorimetry to be about 5 × 10(5) and <10(4) M(-1), respectively. A model is presented in which both rasagiline and R-1-aminoindan bind to α-synuclein, forming a loop structure which is less likely to aggregate or form fibrils. In contrast, selegiline binds and forms a more compact structure similar to that formed by methamphetamine.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".